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#include "precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
namespace cvtest {
namespace ocl {
using namespace cv;
int test_loop_times = 1; // TODO Read from command line / environment
#ifdef HAVE_OPENCL
#define DUMP_PROPERTY_XML(propertyName, propertyValue) \
do { \
std::stringstream ssName, ssValue;\
ssName << propertyName;\
ssValue << (propertyValue); \
::testing::Test::RecordProperty(ssName.str(), ssValue.str()); \
} while (false)
#define DUMP_MESSAGE_STDOUT(msg) \
do { \
std::cout << msg << std::endl; \
} while (false)
static std::string bytesToStringRepr(size_t value)
{
size_t b = value % 1024;
value /= 1024;
size_t kb = value % 1024;
value /= 1024;
size_t mb = value % 1024;
value /= 1024;
size_t gb = value;
std::ostringstream stream;
if (gb > 0)
stream << gb << " GB ";
if (mb > 0)
stream << mb << " MB ";
if (kb > 0)
stream << kb << " kB ";
if (b > 0)
stream << b << " B";
return stream.str();
}
void dumpOpenCLDevice()
{
using namespace cv::ocl;
try
{
if (!useOpenCL())
{
DUMP_MESSAGE_STDOUT("OpenCL is disabled");
DUMP_PROPERTY_XML("cv_ocl", "disabled");
return;
}
std::vector<PlatformInfo> platforms;
cv::ocl::getPlatfomsInfo(platforms);
if (platforms.size() > 0)
{
DUMP_MESSAGE_STDOUT("OpenCL Platforms: ");
for (size_t i = 0; i < platforms.size(); i++)
{
const PlatformInfo* platform = &platforms[i];
DUMP_MESSAGE_STDOUT(" " << platform->name().c_str());
Device current_device;
for (int j = 0; j < platform->deviceNumber(); j++)
{
platform->getDevice(current_device, j);
const char* deviceTypeStr = current_device.type() == Device::TYPE_CPU
? ("CPU") : (current_device.type() == Device::TYPE_GPU ? current_device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
DUMP_MESSAGE_STDOUT( " " << deviceTypeStr << ": " << current_device.name().c_str() << " (" << current_device.version().c_str() << ")");
DUMP_PROPERTY_XML( cv::format("cv_ocl_platform_%d_device_%d", (int)i, (int)j ),
cv::format("(Platform=%s)(Type=%s)(Name=%s)(Version=%s)",
platform->name().c_str(), deviceTypeStr, current_device.name().c_str(), current_device.version().c_str()) );
}
}
}
else
{
DUMP_MESSAGE_STDOUT("OpenCL is not available");
DUMP_PROPERTY_XML("cv_ocl", "not available");
return;
}
const Device& device = Device::getDefault();
if (!device.available())
CV_ErrorNoReturn(CV_OpenCLInitError, "OpenCL device is not available");
DUMP_MESSAGE_STDOUT("Current OpenCL device: ");
#if 0
DUMP_MESSAGE_STDOUT(" Platform = "<< device.getPlatform().name());
DUMP_PROPERTY_XML("cv_ocl_current_platformName", device.getPlatform().name());
#endif
const char* deviceTypeStr = device.type() == Device::TYPE_CPU
? ("CPU") : (device.type() == Device::TYPE_GPU ? device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
DUMP_MESSAGE_STDOUT(" Type = "<< deviceTypeStr);
DUMP_PROPERTY_XML("cv_ocl_current_deviceType", deviceTypeStr);
DUMP_MESSAGE_STDOUT(" Name = "<< device.name());
DUMP_PROPERTY_XML("cv_ocl_current_deviceName", device.name());
DUMP_MESSAGE_STDOUT(" Version = " << device.version());
DUMP_PROPERTY_XML("cv_ocl_current_deviceVersion", device.version());
DUMP_MESSAGE_STDOUT(" Compute units = "<< device.maxComputeUnits());
DUMP_PROPERTY_XML("cv_ocl_current_maxComputeUnits", device.maxComputeUnits());
DUMP_MESSAGE_STDOUT(" Max work group size = "<< device.maxWorkGroupSize());
DUMP_PROPERTY_XML("cv_ocl_current_maxWorkGroupSize", device.maxWorkGroupSize());
std::string localMemorySizeStr = bytesToStringRepr(device.localMemSize());
DUMP_MESSAGE_STDOUT(" Local memory size = " << localMemorySizeStr);
DUMP_PROPERTY_XML("cv_ocl_current_localMemSize", device.localMemSize());
std::string maxMemAllocSizeStr = bytesToStringRepr(device.maxMemAllocSize());
DUMP_MESSAGE_STDOUT(" Max memory allocation size = "<< maxMemAllocSizeStr);
DUMP_PROPERTY_XML("cv_ocl_current_maxMemAllocSize", device.maxMemAllocSize());
const char* doubleSupportStr = device.doubleFPConfig() > 0 ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Double support = "<< doubleSupportStr);
DUMP_PROPERTY_XML("cv_ocl_current_haveDoubleSupport", device.doubleFPConfig() > 0);
const char* isUnifiedMemoryStr = device.hostUnifiedMemory() ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Host unified memory = "<< isUnifiedMemoryStr);
DUMP_PROPERTY_XML("cv_ocl_current_hostUnifiedMemory", device.hostUnifiedMemory());
const char* haveAmdBlasStr = haveAmdBlas() ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Has AMD Blas = "<< haveAmdBlasStr);
DUMP_PROPERTY_XML("cv_ocl_current_AmdBlas", haveAmdBlas());
const char* haveAmdFftStr = haveAmdFft() ? "Yes" : "No";
DUMP_MESSAGE_STDOUT(" Has AMD Fft = "<< haveAmdFftStr);
DUMP_PROPERTY_XML("cv_ocl_current_AmdFft", haveAmdFft());
DUMP_MESSAGE_STDOUT(" Preferred vector width char = "<< device.preferredVectorWidthChar());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthChar", device.preferredVectorWidthChar());
DUMP_MESSAGE_STDOUT(" Preferred vector width short = "<< device.preferredVectorWidthShort());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthShort", device.preferredVectorWidthShort());
DUMP_MESSAGE_STDOUT(" Preferred vector width int = "<< device.preferredVectorWidthInt());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthInt", device.preferredVectorWidthInt());
DUMP_MESSAGE_STDOUT(" Preferred vector width long = "<< device.preferredVectorWidthLong());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthLong", device.preferredVectorWidthLong());
DUMP_MESSAGE_STDOUT(" Preferred vector width float = "<< device.preferredVectorWidthFloat());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthFloat", device.preferredVectorWidthFloat());
DUMP_MESSAGE_STDOUT(" Preferred vector width double = "<< device.preferredVectorWidthDouble());
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthDouble", device.preferredVectorWidthDouble());
}
catch (...)
{
DUMP_MESSAGE_STDOUT("Exception. Can't dump OpenCL info");
DUMP_MESSAGE_STDOUT("OpenCL device not available");
DUMP_PROPERTY_XML("cv_ocl", "not available");
}
}
#undef DUMP_MESSAGE_STDOUT
#undef DUMP_PROPERTY_XML
#endif
Mat TestUtils::readImage(const String &fileName, int flags)
{
return cv::imread(cvtest::TS::ptr()->get_data_path() + fileName, flags);
}
Mat TestUtils::readImageType(const String &fname, int type)
{
Mat src = readImage(fname, CV_MAT_CN(type) == 1 ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
if (CV_MAT_CN(type) == 4)
{
Mat temp;
cv::cvtColor(src, temp, cv::COLOR_BGR2BGRA);
swap(src, temp);
}
src.convertTo(src, CV_MAT_DEPTH(type));
return src;
}
double TestUtils::checkNorm1(InputArray m, InputArray mask)
{
return cvtest::norm(m.getMat(), NORM_INF, mask.getMat());
}
double TestUtils::checkNorm2(InputArray m1, InputArray m2, InputArray mask)
{
return cvtest::norm(m1.getMat(), m2.getMat(), NORM_INF, mask.getMat());
}
double TestUtils::checkSimilarity(InputArray m1, InputArray m2)
{
Mat diff;
matchTemplate(m1.getMat(), m2.getMat(), diff, CV_TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}
double TestUtils::checkRectSimilarity(const Size & sz, std::vector<Rect>& ob1, std::vector<Rect>& ob2)
{
double final_test_result = 0.0;
size_t sz1 = ob1.size();
size_t sz2 = ob2.size();
if (sz1 != sz2)
return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1);
else
{
if (sz1 == 0 && sz2 == 0)
return 0;
cv::Mat cpu_result(sz, CV_8UC1);
cpu_result.setTo(0);
for (vector<Rect>::const_iterator r = ob1.begin(); r != ob1.end(); r++)
{
cv::Mat cpu_result_roi(cpu_result, *r);
cpu_result_roi.setTo(1);
cpu_result.copyTo(cpu_result);
}
int cpu_area = cv::countNonZero(cpu_result > 0);
cv::Mat gpu_result(sz, CV_8UC1);
gpu_result.setTo(0);
for(vector<Rect>::const_iterator r2 = ob2.begin(); r2 != ob2.end(); r2++)
{
cv::Mat gpu_result_roi(gpu_result, *r2);
gpu_result_roi.setTo(1);
gpu_result.copyTo(gpu_result);
}
cv::Mat result_;
multiply(cpu_result, gpu_result, result_);
int result = cv::countNonZero(result_ > 0);
if (cpu_area!=0 && result!=0)
final_test_result = 1.0 - (double)result/(double)cpu_area;
else if(cpu_area==0 && result!=0)
final_test_result = -1;
}
return final_test_result;
}
void TestUtils::showDiff(InputArray _src, InputArray _gold, InputArray _actual, double eps, bool alwaysShow)
{
Mat src = _src.getMat(), actual = _actual.getMat(), gold = _gold.getMat();
Mat diff, diff_thresh;
absdiff(gold, actual, diff);
diff.convertTo(diff, CV_32F);
threshold(diff, diff_thresh, eps, 255.0, cv::THRESH_BINARY);
if (alwaysShow || cv::countNonZero(diff_thresh.reshape(1)) > 0)
{
#if 0
std::cout << "Source: " << std::endl << src << std::endl;
std::cout << "Expected: " << std::endl << gold << std::endl;
std::cout << "Actual: " << std::endl << actual << std::endl;
#endif
namedWindow("src", WINDOW_NORMAL);
namedWindow("gold", WINDOW_NORMAL);
namedWindow("actual", WINDOW_NORMAL);
namedWindow("diff", WINDOW_NORMAL);
imshow("src", src);
imshow("gold", gold);
imshow("actual", actual);
imshow("diff", diff);
cv::waitKey();
}
}
} } // namespace cvtest::ocl